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An Adaptive Fuzzy C Means with Seagull Optimization Algorithm for Analysis of WSNs in Agricultural Field with IoT

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Abstract

In recent years, the environmental monitoring in agriculture field is an essential required application. To achieve the environmental monitoring of agriculture fields, the wireless sense networks (WSN) and internet of things is utilized. In the WSN, the energy consumption is a main issue to access the medium and transfer the networks. Hence, in this paper, adaptive fuzzy C means clustering and seagull optimization algorithm is developed for monitoring environmental conditions in agriculture field. Two main objective functions are utilized to empower the presentation of the WSN such as load balancing and energy efficient operation. The proposed method is a combination of fuzzy C means clustering and seagull optimization algorithm (SOA). The energy efficient and load balancing is achieved by optimal routing scheme by proposed method. The fuzzy C-means clustering is utilized to empower the energy efficient operation and load balancing. In the fuzzy C-means clustering, the SOA is utilized to select the optimal path selection. The proposed method is executed by NS2 simulator and performances are compared with existing methods such as atom search optimization and emperor penguin optimization respectively. The performance metrics are delay, drop, throughput, energy consumption, network lifetime, overhead and delivery ratio.

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Authors and Affiliations

  1. Department of Information Technology, Panimalar Engineering College, Chennai, India

    D. Karunkuzhali

  2. Department of Electrical and Electronics Engineering, Sri Sairam Engineering College, Chennai, India

    Balasubramanian Meenakshi

  3. Department of Computer Science and Engineering, Gitam University, Visakhapatnam, India

    Keerthi Lingam

Authors
  1. D. Karunkuzhali
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  2. Balasubramanian Meenakshi
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  3. Keerthi Lingam
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Correspondence to D. Karunkuzhali.

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Karunkuzhali, D., Meenakshi, B. & Lingam, K. An Adaptive Fuzzy C Means with Seagull Optimization Algorithm for Analysis of WSNs in Agricultural Field with IoT. Wireless Pers Commun 126, 1459–1480 (2022). https://doi.org/10.1007/s11277-022-09801-z

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